Publications (58)
Convergence of the alternating least squares algorithm for CP tensor decompositions
Nicholas Hu, Mark A. Iwen, Deanna Needell +1
Local Minima in Quadratic-Penalty Relaxations of Binary Linear Programs
Cheng-Han Huang, Yongliang Sun, Chaoyan Huang +2
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction
Shijun Liang, Evan Bell, Qing Qu +2
Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds
Xitong Zhang, Avrajit Ghosh, Guangliang Liu +1
The Masked Matrix Separation Problem: A First Analysis
Xuemei Chen, Rongrong Wang
Toward Global Large Language Models in Medicine
Rui Yang, Huitao Li, Weihao Xuan +47
Differentiable Quadratic Optimization For The Maximum Independent Set Problem
Ismail Alkhouri, Cedric Le Denmat, Yingjie Li +4
Sigma Delta quantization for images
He Lyu, Rongrong Wang
A null space property approach to compressed sensing with frames
Xuemei Chen, Haichao Wang, Rongrong Wang
A Survey to Recent Progress Towards Understanding In-Context Learning
Haitao Mao, Guangliang Liu, Yao Ma +3
Variational Learning Finds Flatter Solutions at the Edge of Stability
Avrajit Ghosh, Bai Cong, Rio Yokota +5
Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory
Ismail Alkhouri, Evan Bell, Avrajit Ghosh +3
SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems
Ismail Alkhouri, Shijun Liang, Cheng-Han Huang +4
Deep Image Matting with Flexible Guidance Input
Hang Cheng, Shugong Xu, Xiufeng Jiang +1
Deep Reinforcement Learning for Tropical Air Free-Cooled Data Center Control
Duc Van Le, Rongrong Wang, Yingbo Liu +3
Measures of scalability
Xuemei Chen, Gitta Kutyniok, Kasso A. Okoudjou +2
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization
Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun +3
Mutation-Guided Differentiable Quadratic Combinatorial Optimization
Yongliang Sun, Ismail Alkhouri, Cheng-Han Huang +3
Theoretical guarantees for the advantage of GNNs over NNs in generalizing bandlimited functions on Euclidean cubes
A. Martina Neuman, Rongrong Wang, Yuying Xie
Sigma Delta quantization with Harmonic frames and partial Fourier ensembles
Rongrong Wang
MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives
Xiang Li, Yixuan Jia, Xiao Li +3
Neural Network Approximation of Continuous Functions in High Dimensions with Applications to Inverse Problems
Santhosh Karnik, Rongrong Wang, Mark Iwen
Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction
Shijun Liang, Ismail Alkhouri, Qing Qu +2
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
Guangliang Liu, Milad Afshari, Xitong Zhang +5
Perturbation of invariant subspaces for ill-conditioned eigensystem
He Lyu, Rongrong Wang
A Scalable Lift-and-Project Differentiable Approach For the Maximum Cut Problem
Ismail Alkhouri, Mian Wu, Cunxi Yu +3
Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification
Ismail Alkhouri, Shijun Liang, Rongrong Wang +2
On the $\ell^\infty$-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization
Theodore Faust, Mark Iwen, Rayan Saab +1
A Principled Self-Referenced Early Stopping Approach for Deep Image Prior
Chaoyan Huang, Cheng-Han Huang, Ismail R. Alkhouri +1
NERD: Network-Regularized Diffusion Sampling For 3D Computed Tomography
Shijun Liang, Ismail Alkhouri, Qing Qu +2
A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection
Hao Guo, Xintao Ren, Rongrong Wang +3
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
Xitong Zhang, Ismail R. Alkhouri, Rongrong Wang
On the Convergence of Moral Self-Correction in Large Language Models
Guangliang Liu, Haitao Mao, Bochuan Cao +4
Smaller Large Language Models Can Do Moral Self-Correction
Guangliang Liu, Zhiyu Xue, Xitong Zhang +2
Linear Convergent Decentralized Optimization with Compression
Xiaorui Liu, Yao Li, Rongrong Wang +2
From compressed sensing to compressed bit-streams: practical encoders, tractable decoders
Rayan Saab, Rongrong Wang, Ozgur Yilmaz
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept
Guangliang Liu, Haitao Mao, Bochuan Cao +5
A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang +1
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh, He Lyu, Xitong Zhang +1
The gap between the null space property and the restricted isometry property
Jameson Cahill, Xuemei Chen, Rongrong Wang
Restricted isometry property of random subdictionaries
Alexander Barg, Arya Mazumdar, Rongrong Wang
Low-Bit Quantization of Bandlimited Graph Signals via Iterative Methods
Felix Krahmer, He Lyu, Rayan Saab +3
Quantization of compressive samples with stable and robust recovery
Rayan Saab, Rongrong Wang, Ozgur Yilmaz
XConv: Low-memory stochastic backpropagation for convolutional layers
Anirudh Thatipelli, Jeffrey Sam, Mathias Louboutin +3
An exact $\sinÎ$ formula for matrix perturbation analysis and its applications
He Lyu, Rongrong Wang
Singular Vector Perturbation under Gaussian Noise
Rongrong Wang
Towards Understanding the Mechanisms of Classifier-Free Guidance
Xiang Li, Rongrong Wang, Qing Qu
A null space analysis of the L1 synthesis method in dictionary-based compressed sensing
Xuemei Chen, Haichao Wang, Rongrong Wang
Low-Rank Adaptation of Pre-Trained Stable Diffusion for Rigid-Body Target ISAR Imaging
Boan Zhang, Hang Dong, Jiongge Zhang +5
AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data
Xinjie Zhao, Moritz Blum, Rui Yang +10
Random Subdictionaries and Coherence Conditions for Sparse Signal Recovery
Alexander Barg, Arya Mazumdar, Rongrong Wang
Tensor Deli: Tensor Completion for Low CP-Rank Tensors via Random Sampling
Cullen Haselby, Mark Iwen, Santhosh Karnik +1
How Far Can Sharpness and Complexity Jointly Explain Generalization?
Ziyu Cheng, Xitong Zhang, Longxiu Huang +1
Sparse Recovery for Overcomplete Frames: Sensing Matrices and Recovery Guarantees
Xuemei Chen, Christian Kümmerle, Rongrong Wang
Manifold Denoising by Nonlinear Robust Principal Component Analysis
He Lyu, Ningyu Sha, Shuyang Qin +3
Capacity Preserving Mapping for High-dimensional Data Visualization
Rongrong Wang, Xiaopeng Zhang
PAC-tuning:Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent
Guangliang Liu, Zhiyu Xue, Xitong Zhang +2
Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability
Avrajit Ghosh, Soo Min Kwon, Rongrong Wang +2